Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.4677  0.0027  0.1024  0.424  0.6413  0.52
Anderszewski 2003   30  0.4264  0.0028  0.1225  0.4124  0.4824  0.44
Ashkenazy 1981   62  0.3662  0.0065  0.0651  0.0647  0.0963  0.07
Bacha 2000   46  0.3814  0.0125  0.0932  0.337  0.6420  0.46
Badura 1965   61  0.3639  0.0048  0.0845  0.0812  0.5043  0.20
Barbosa 1983   22  0.448  0.0320  0.0923  0.4224  0.3827  0.40
Biret 1990   24  0.4350  0.0030  0.1129  0.3517  0.5721  0.45
Blet 2003   66  0.3451  0.0069  0.0656  0.0648  0.0665  0.06
Block 1995   57  0.3640  0.0052  0.0562  0.0541  0.1560  0.09
Blumental 1952   6  0.4711  0.025  0.145  0.663  0.752  0.70
Boshniakovich 1969   56  0.375  0.0515  0.0933  0.3237  0.2236  0.27
Brailowsky 1960   14  0.4629  0.0013  0.109  0.585  0.735  0.65
Bunin 1987   72  0.2952  0.0073  0.0378  0.0355  0.0579  0.04
Bunin 1987b   71  0.2931  0.0070  0.0377  0.0353  0.0577  0.04
Chiu 1999   59  0.3656  0.0063  0.0563  0.0546  0.0670  0.05
Cohen 1997   40  0.4043  0.0045  0.0561  0.055  0.6846  0.18
Cortot 1951   51  0.3879  0.0046  0.0652  0.064  0.6944  0.20
Csalog 1996   69  0.3046  0.0082  0.0284  0.0266  0.0586  0.03
Czerny 1949   12  0.4634  0.0012  0.0914  0.5210  0.747  0.62
Czerny 1990   34  0.4138  0.0029  0.1327  0.3832  0.4129  0.39
Duchoud 2007   80  0.2769  0.0084  0.0285  0.0257  0.0687  0.03
Ezaki 2006   2  0.519  0.028  0.204  0.662  0.723  0.69
Falvay 1989   16  0.4616  0.0122  0.0819  0.4618  0.4125  0.43
Farrell 1958   67  0.3342  0.0057  0.0564  0.0541  0.1461  0.08
Ferenczy 1958   48  0.3855  0.0060  0.0648  0.0618  0.6642  0.20
Fliere 1977   18  0.4415  0.0121  0.1016  0.5047  0.0841  0.20
Fou 1978   32  0.416  0.0324  0.0820  0.4522  0.4422  0.44
Francois 1956   43  0.3954  0.0049  0.0649  0.0616  0.5945  0.19
Friedman 1923   74  0.2885  0.0078  0.0467  0.0471  0.0482  0.04
Friedman 1923b   77  0.2788  0.0077  0.0469  0.0457  0.0580  0.04
Friedman 1930   76  0.2878  0.0076  0.0566  0.0564  0.0573  0.05
Garcia 2007   87  0.2090  0.0080  0.0287  0.0262  0.0588  0.03
Garcia 2007b   75  0.2845  0.0072  0.0380  0.0368  0.0581  0.04
Gierzod 1998   13  0.467  0.036  0.176  0.666  0.656  0.65
Gornostaeva 1994   7  0.4717  0.0118  0.0813  0.527  0.659  0.58
Groot 1988   15  0.4612  0.027  0.217  0.617  0.5610  0.58
Harasiewicz 1955   3  0.514  0.073  0.193  0.6814  0.548  0.61
Hatto 1993   20  0.4433  0.0010  0.1110  0.5522  0.4019  0.47
Hatto 1997   1  0.511  0.291  0.282  0.693  0.704  0.69
Horowitz 1949   84  0.2466  0.0085  0.0381  0.0375  0.0384  0.03
Indjic 1988   21  0.4428  0.0011  0.1215  0.5123  0.4417  0.47
Kapell 1951   36  0.4023  0.0042  0.0739  0.1944  0.0951  0.13
Kissin 1993   47  0.3874  0.0038  0.0638  0.2035  0.4034  0.28
Kushner 1989   39  0.4044  0.0041  0.0642  0.1649  0.0753  0.11
Luisada 1991   50  0.3876  0.0061  0.0472  0.0454  0.0667  0.05
Lushtak 2004   58  0.3649  0.0064  0.0747  0.0755  0.0566  0.06
Malcuzynski 1961   33  0.4161  0.0033  0.1130  0.3542  0.1439  0.22
Magaloff 1978   31  0.4210  0.0223  0.0828  0.3518  0.4130  0.38
Magin 1975   54  0.3782  0.0062  0.0470  0.0445  0.0771  0.05
Michalowski 1933   83  0.2460  0.0083  0.0382  0.0367  0.0578  0.04
Milkina 1970   5  0.483  0.114  0.1911  0.5321  0.5312  0.53
Mohovich 1999   26  0.4330  0.0032  0.1026  0.3929  0.4128  0.40
Moravec 1969   41  0.3924  0.0034  0.0736  0.2335  0.2437  0.23
Morozova 2008   38  0.4047  0.0044  0.0744  0.1340  0.1750  0.15
Neighaus 1950   35  0.4165  0.0036  0.0737  0.2125  0.3735  0.28
Niedzielski 1931   78  0.2781  0.0068  0.0473  0.0463  0.0476  0.04
Ohlsson 1999   23  0.4332  0.0026  0.1021  0.4513  0.4423  0.44
Osinska 1989   8  0.4719  0.0014  0.1112  0.5322  0.4914  0.51
Pachmann 1927   86  0.2383  0.0086  0.0379  0.0369  0.0485  0.03
Paderewski 1930   85  0.2463  0.0079  0.0475  0.0449  0.0672  0.05
Perlemuter 1992   44  0.3936  0.0050  0.0655  0.0617  0.4748  0.17
Pierdomenico 2008   82  0.2589  0.0087  0.0474  0.0475  0.0383  0.03
Poblocka 1999   27  0.4270  0.0040  0.0641  0.1838  0.2738  0.22
Rabcewiczowa 1932   29  0.4225  0.0031  0.0831  0.3519  0.5326  0.43
Rachmaninoff 1923   64  0.3527  0.0055  0.0650  0.0643  0.1358  0.09
Rangell 2001   65  0.3480  0.0059  0.0560  0.0536  0.2752  0.12
Richter 1976   49  0.3848  0.0058  0.0746  0.0764  0.0564  0.06
Rosen 1989   17  0.4559  0.0016  0.1017  0.4912  0.4518  0.47
Rosenthal 1930   55  0.3768  0.0056  0.0468  0.0412  0.6249  0.16
Rosenthal 1931   73  0.2967  0.0074  0.0376  0.0329  0.4254  0.11
Rosenthal 1931b   70  0.3084  0.0066  0.0654  0.0621  0.5247  0.18
Rosenthal 1931c   68  0.3041  0.0075  0.0471  0.0439  0.1862  0.08
Rosenthal 1931d   79  0.2737  0.0071  0.0383  0.0321  0.4155  0.11
Rossi 2007   81  0.2671  0.0081  0.0286  0.0244  0.1469  0.05
Rubinstein 1939   25  0.4320  0.0035  0.0735  0.2324  0.3733  0.29
Rubinstein 1952   19  0.4453  0.0019  0.0918  0.4819  0.5316  0.50
Rubinstein 1966   9  0.4758  0.009  0.098  0.5821  0.4315  0.50
Schilhawsky 1960   60  0.3622  0.0067  0.0565  0.0535  0.1659  0.09
Shebanova 2002   42  0.3935  0.0053  0.0559  0.0565  0.0674  0.05
Smith 1975   11  0.4626  0.0017  0.0822  0.435  0.6711  0.54
Sokolov 2002   28  0.4213  0.0139  0.0740  0.1913  0.5031  0.31
Sztompka 1959   37  0.4075  0.0037  0.0634  0.2627  0.3832  0.31
Tomsic 1995   45  0.3918  0.0143  0.0643  0.1424  0.3440  0.22
Uninsky 1932   4  0.502  0.162  0.211  0.701  0.741  0.72
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   63  0.3621  0.0047  0.0653  0.0673  0.0568  0.05
Zak 1937   53  0.3773  0.0051  0.0558  0.0535  0.1956  0.10
Zak 1951   52  0.3757  0.0054  0.0657  0.0638  0.1857  0.10
Random 1   89  -0.0272  0.0089  0.0189  0.0159  0.0489  0.02
Random 2   88  0.0286  0.0088  0.0288  0.0240  0.1375  0.05
Random 3   90  -0.0787  0.0090  0.0190  0.0159  0.0390  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).